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DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data.
Dunn, Kenneth W; Fu, Chichen; Ho, David Joon; Lee, Soonam; Han, Shuo; Salama, Paul; Delp, Edward J.
Afiliación
  • Dunn KW; Department of Medicine, Division of Nephrology Indiana University School of Medicine, 950 West Walnut St, R2-202, Indianapolis, IN, 46202, USA. kwdunn@iu.edu.
  • Fu C; Video and Image Processing Laboratory, School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Ho DJ; Video and Image Processing Laboratory, School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Lee S; Video and Image Processing Laboratory, School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Han S; Video and Image Processing Laboratory, School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Salama P; Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202, USA. psalama@iu.edu.
  • Delp EJ; Video and Image Processing Laboratory, School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA. ace@ecn.purdue.edu.
Sci Rep ; 9(1): 18295, 2019 12 04.
Article en En | MEDLINE | ID: mdl-31797882
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Núcleo Celular / Imagenología Tridimensional / Aprendizaje Profundo Límite: Animals Idioma: En Revista: Sci Rep Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Núcleo Celular / Imagenología Tridimensional / Aprendizaje Profundo Límite: Animals Idioma: En Revista: Sci Rep Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos